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caffe2
quantization
server
elementwise_linear_dnnlowp_op.h
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#pragma once
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#include "caffe2/operators/elementwise_linear_op.h"
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#include "caffe2/quantization/server/dnnlowp_op.h"
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namespace
caffe2
{
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using
ElementwiseLinearFp32Op = ElementwiseLinearOp<float, CPUContext>;
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template
<
typename
T>
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class
ElementwiseLinearDNNLowPOp
final
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:
public
DNNLowPOp
<T, ElementwiseLinearFp32Op> {
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public
:
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ElementwiseLinearDNNLowPOp
(
const
OperatorDef& operator_def,
Workspace
* ws);
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bool
RunOnDevice()
override
;
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USE_OPERATOR_FUNCTIONS(
CPUContext
);
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USE_DNNLOWP_OPERATOR_BASE_FUNCTIONS(
T
,
ElementwiseLinearFp32Op
);
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private
:
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bool
GetQuantizationParameters_();
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int
axis_;
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dnnlowp::RequantizationParams requantization_params_;
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std::vector<T> a_quantized_;
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};
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}
// namespace caffe2
T
Definition:
dataloader.cpp:482
caffe2::ElementwiseLinearDNNLowPOp
Definition:
elementwise_linear_dnnlowp_op.h:27
caffe2::CPUContext
The CPU Context, representing the bare minimum of what a Context class in Caffe2 should implement...
Definition:
context.h:40
caffe2::ElementwiseLinearOp
Definition:
elementwise_linear_op.h:10
caffe2::Workspace
Workspace is a class that holds all the related objects created during runtime: (1) all blobs...
Definition:
workspace.h:47
caffe2
A global dictionary that holds information about what Caffe2 modules have been loaded in the current ...
Definition:
blob.h:13
caffe2::DNNLowPOp
A convenient base class for C2 operators with DNNLOWP engine.
Definition:
dnnlowp_op.h:77
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